5 datasets found
  1. d

    Population, Health-System and Environment of Vienna, 1945 to 2001

    • da-ra.de
    Updated 2008
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    Andreas Weigl; Hellmut Ritter (2008). Population, Health-System and Environment of Vienna, 1945 to 2001 [Dataset]. http://doi.org/10.4232/1.8282
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    Dataset updated
    2008
    Dataset provided by
    da|ra
    GESIS Data Archive
    Authors
    Andreas Weigl; Hellmut Ritter
    Time period covered
    1945 - 2001
    Area covered
    Vienna
    Description

    Sources: Official Statistics: Population-Census-data, police registration, information of the civil registry office, civil status registration of the finance office, medical profession’s statistics of the medical association, administration statistics of magistrate departement 15 (departement of tuberculosis abatement), annual report of Vienna’s hospitals, containment measurement of magistrate departement 22, information about household refuse and potential recyclable of magistrate departement 48. Additional: Microcensus.

  2. g

    Data from: Longitudinal Analysis of Historical Demographic Data

    • datasearch.gesis.org
    • openicpsr.org
    • +1more
    Updated Aug 27, 2016
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    Gutmann, Myron P.; Alter, George C. (2016). Longitudinal Analysis of Historical Demographic Data [Dataset]. http://doi.org/10.3886/E36480V1
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    Dataset updated
    Aug 27, 2016
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Gutmann, Myron P.; Alter, George C.
    Description

    This study contains teaching materials developed over a period of years for a four-week workshop, Longitudinal Analysis of Historical Demographic Data (LAHDD), offered through the ICPSR Summer Program in 2006, 2007, 2009, 2011 and 2013, with one-day alumni workshops in 2010, 2012, and 2014. Instructors in the workshops are listed below. Funding was provided by The Eunice Kennedy Shriver National Institute of Child Health and Human Development, grants R25-HD040525 and R25-HD-049479, the ICPSR Summer Program and the ICPSR Director. The course was designed to teach students the theories, methods, and practices of historical demography and to give them first-hand experience working with historical data. This training is valuable not only to those interested in the analysis historical data. The techniques of historical demography rest on methodological insights that can be applied to many problems in population studies and other social sciences. While historical demography remains a flourishing research area with publications in key journals like Demography, Population Studies, and Population, practitioners were dispersed, and training was not available at any of the population research centers in the U.S. or elsewhere. One hundred and ten participants from around the globe took part in the workshops, and have gone on to establish courses of their own or teach in other workshops. We offer these materials here in the hopes that others will find them useful in developing courses on historical demography and/or longitudinal data analysis. The workshop was organized in three tracks: A brief tour of historical demography, event-history analysis, and data management for longitudinal data using Stata and Microsoft Access. The data management track includes 13 exercises designed for hands-on learning and reinforcement. Included in this project are the syllabii and reading lists for the three tracks, datasets used in the exercises, documents setting out each exercise, a file with the expected results, and for many of the exercises, an explanation. Video tutorials helpful with the Access exercises are accessible from ICPSR's YouTube channel https://www.youtube.com/playlist?list=PLqC9lrhW1Vvb9M1QpQH23z9UlPYxHbUMF. Users are encouraged to use these materials to develop their own courses and workshops in any of the topics covered. Please acknowledge NICHD R25-HD040525 and R25-HD-049479 whenever appropriate. Historical demography instructors: Myron P. Gutmann, University of Colorado Boulder Cameron Campbell, Hong Kong University of Science and Technology J. David Hacker, University of Minnesota Satomi Kurosu, Reitaku University Katherine A. Lynch, Carnegie Mellon University Event history instructors: Cameron Campbell, Hong Kong University of Science and Technology Glenn Deane, State University of New York at Albany Ken R. Smith, Huntsman Cancer Institute and University of Utah Database management instructors: George Alter, University of Michigan Susan Hautaniemi Leonard, University of Michigan Teaching Assistants: Mathew Creighton, University of Massachusetts Boston Emily Merchant, University of Michigan Luciana Quaranta, Lund University Kristine Witkowski, University of Michigan Project Manager: Susan Hautaniemi Leonard, University of Michigan

  3. Data from: A web platform for landuse, climate, demography, hydrology and...

    • zenodo.org
    • datadryad.org
    zip
    Updated May 27, 2022
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    Anthony Lehmann; Yaniss Guigoz; Nicolas Ray; Emanuele Mancuso; Karim C. Abbaspour; Elham Rouholahnejad Freund; Karin Allenbach; Andrea De Bono; Marc Fasel; Ana Gago-Silva; Roger Bär; Pierre Lacroix; Grégory Giuliani; Anthony Lehmann; Yaniss Guigoz; Nicolas Ray; Emanuele Mancuso; Karim C. Abbaspour; Elham Rouholahnejad Freund; Karin Allenbach; Andrea De Bono; Marc Fasel; Ana Gago-Silva; Roger Bär; Pierre Lacroix; Grégory Giuliani (2022). Data from: A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment [Dataset]. http://doi.org/10.5061/dryad.8t55d
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    zipAvailable download formats
    Dataset updated
    May 27, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anthony Lehmann; Yaniss Guigoz; Nicolas Ray; Emanuele Mancuso; Karim C. Abbaspour; Elham Rouholahnejad Freund; Karin Allenbach; Andrea De Bono; Marc Fasel; Ana Gago-Silva; Roger Bär; Pierre Lacroix; Grégory Giuliani; Anthony Lehmann; Yaniss Guigoz; Nicolas Ray; Emanuele Mancuso; Karim C. Abbaspour; Elham Rouholahnejad Freund; Karin Allenbach; Andrea De Bono; Marc Fasel; Ana Gago-Silva; Roger Bär; Pierre Lacroix; Grégory Giuliani
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Black Sea
    Description

    The Black Sea catchment (BSC) is facing important demographic, climatic and landuse changes that may increase pollution, vulnerability and scarcity of water resources, as well as beach erosion through sea level rise. Limited access to reliable time-series monitoring data from environmental, statistical, and socio-economical sources is a major barrier to policy development and decision-making. To address these issues, a web-based platform was developed to enable discovery and access to key environmental information for the region. This platform covers: landuse, climate, and demographic scenarios; hydrology and related water vulnerability and scarcity; as well as beach erosion. Each data set has been obtained with state-of-the-art modelling tools from available monitoring data using appropriate validation methods. These analyses were conducted using global and regional data sets. The data sets are intended for national to regional assessments, for instance for prioritizing environmental protection projects and investments. Together they form a unique set of information, which lay out future plausible change scenarios for the BSC, both for scientific and policy purposes.

  4. g

    Bevölkerung in der ehemaligen DDR, 1946 bis 1989

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +2more
    Updated Apr 13, 2010
    + more versions
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    Franzmann, Gabriele (2010). Bevölkerung in der ehemaligen DDR, 1946 bis 1989 [Dataset]. http://doi.org/10.4232/1.8267
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    (191155)Available download formats
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Franzmann, Gabriele
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    1946 - 1989
    Description

    Timeseries of structure and development of the former German Democratic Republic’s population.

    The aim of this data-collection is to inform about the population’s structure and development in the former GDR, including East-Berlin, from 1946 to 1989.

    Basis of the compilation is the published statistical population overview of the German Federal Statistical Office (Statistisches Bundesamt (hrsg.): Sonderreihe mit Beiträgen für das Gebiet der ehemaligen DDR. Heft 3: Bevölkerungsstatistische Übersichten 1946 bis 1989. Wiesbaden, 1993), completed by census data and scientific publications.

    The survey contains details on population and populationstructure (population-size, -growth, density, agegroups, etc.), on natural population movement (birth, decease, marriages, divorces), on spatial population movement (internal migration, migration beyond the borders of the former GDR), and on households.

    The datacompilation covers the following topics:

    A) population B) natural population movement C) households D) migration

    Topics:

    Data-Tables in the download-system HISTAT (Thema: Bevölkerung)

    A. Bevölkerungsstand:

    A01 Bevölkerungsstand und Bevölkerungsentwicklung (1939-1989) A02 Bevölkerung nach Altersgruppen 1946-1989 A03 Männliche Bevölkerung nach Altersgruppen 1946-1989 A04 Weibliche Bevölkerung nach Altersgruppen 1946-1989 A05. Bevölkerungsgröße, Bevölkerungswachstum, Bevölkerungsdichte und Sexualproportion 1950- 1992 A06. Bevölkerung insgesamt, männlich und weiblich nach Ländern 1950-1998 A07. Fläche, Bevölkerung am Ort der Hauptwohnung und Bevölkerungsdichte für 1950, 1964, 1971, 1981 A08. Bevölkerung am Ort der Hauptwohnung nach Altersgruppen und Geschlecht 1950-1981 A09. Bevölkerung am Ort der Hauptwohnung nach Altersgruppen und Geschlecht 1950-1981 A10. Bevölkerung ab 18 Jahre am Ort der Hauptwohnung nach Familienstand und Geschlecht 1950-1981 A11. Fläche und Bevölkerung nach Bezirken 1950-1989 A12. Bevölkerung nach Altersgruppen und Geschlecht für die neuen Länder und Berlin Ost 1950-1990 A13 Bevölkerung nach Gemeindegrößenklassen (in 1000) 1950-1989

    B. Natürliche Bevölkerungsbewegung

    B01 Natürliche Bevölkerungsbewegung 1946-1995 B02a Eheschließungen, durschnittliches Heiratsalter, Ehescheidungen 1946-1989 B02b Eheschließungen nach Familienstand der Partner vor Eheschließung 1946-1989 B03 Eheschließende, Ersteheschließende und Wiederverheiratete (insgesamt) 1946-1989 B04 Eheschließende nach Ersteheschließenden und Wiederverheirateten (je 100 Eheschließende) 1946-1989 B05 Eheschließende nach Familienstand vor der Eheschließung (insgesamt) 1946-1989 B06 Eheschließende nach Familienstand vor der Eheschließung (je 100 Eheschließende) 1946-1989 B07 Zusammengefasste Geburtenziffer nach Altersgruppen 1952-1989 B08 Das Reproduktionsniveau der Bevölkerung 1946-1989 B09 Durchschnittliche Lebenserwartung Neugeborener in Jahren 1946-1989 B10a Geborene, Lebendgeborene und Totgeborene nach Legitimität 1952-1989 B10b Lebend- und Totgeborene nach Geschlecht 1950-1989 B11 Zusammengefaßte Geburtenziffer nach Gemeindegrößenklassen (1965-1989) B12 Altersgruppenspezifische Sterbeziffern nach Geschlecht ( standardisiert) 1964-1989 B13a Gestorbene insgesamt und gestorbene Säuglinge nach Geschlecht (1946-1989) B13b Gestorbene nach ausgewählten Todesursachen und nach Geschlecht 1947-1989 B13c Gestorbene nach ausgewählten Krankheiten als Todesursachen und nach Geschlecht 1947-1989 B14 Gestorbene infolge Suizid- DDR 1947-1989 B15 Gestorbene infolge Suizid- BRD B16 Gestorbene infolge Mord und Totschlag- DDR 1949-1989 B17 Gestorbene infolge Mord und Totschlag- BRD / Bundesrepublik Deutschland (1961-1989) B18 Die Entwicklung der Fruchtbarkeitsziffern in den beiden Teilen Deutschlands (1946/50-1995)

    C. Haushalte

    C01 Privathaushalte nach Haushaltsgröße 1950-1981 C02 Personen in Privathaushalten und Gemeinschaftseinrichtungen 1950-1981 C03 Mehrpersonenhaushalte nach im Haushalt lebenden Kindern unter 17 Jahren 1950-1981 C04 Privathaushalte nach Haushaltsgroesse und nach Altersgruppen des Haushaltsvorstandes 1950 bis 1981 C05 Privathaushalte nach Haushaltsgroesse und nach Altersgruppen des maennlichen Haushaltsvorstandes 1950 bis 1981

    D. Wanderung

    D01 Wanderung über die Grenzen der DDR 1951-1989 D02 Wanderung über die Grenzen der DDR nach Altersgruppen 1965-1989 D03 Binnenwanderungsgewinn bzw.- verlust (-) nach Gemeindegrößenklassen 1970-1989 D04 Saldo aus zu- und Fortzügen (-) über die Grenzen der ehemaligen DDR nach Gemeindegrößekl...

  5. i

    World Values Survey 1990, Wave 2 - Mexico

    • catalog.ihsn.org
    Updated Jan 16, 2021
    + more versions
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    Miguel Basanez (2021). World Values Survey 1990, Wave 2 - Mexico [Dataset]. https://catalog.ihsn.org/catalog/9071
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    Dataset updated
    Jan 16, 2021
    Dataset provided by
    Miguel Basanez
    Ronald Inglehart
    Time period covered
    1990
    Area covered
    Mexico
    Description

    Abstract

    The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

    The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

    The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

    Geographic coverage

    National

    Analysis unit

    Household Individual

    Universe

    National Population, Both sexes,18 and more years.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sample size: 1531

    The sample framework departs from the list of cities over 50,000 inhabitants. The country was divided in four great regions: Metropolitan Zone (ZM), North (N), Center (C) and South (S). Two states take part in the ZM (Distrito Federal and Mexico); 16 states in the zone N (Jalisco, Nuevo León, Guanajuato, Coahuila, Chihuahua, Aguascalientes, Sonora, Durango, Nayarit, Zacateras, Colima and Baja California Sur). The zone C is formed by 6 states (Michoacan, Guerrero, Queretaro, Morelos, Hidalgo and Tlaxcala); and, finally, in the zone S were considered 8 states (Puebla, Yucatan, Veracruz, Tabasco, Chiapas, Campeche Oaxaca and Quintana Roo). The ZM’s population is 18.7 millions (22.2%) and it has 93% of urban population. The C’s population is 13.6 millions (16.1%) with 45% urban. The zone S has 20.2 millions (24%) with 38% urban; and the N’s population is 31.7 millions (37.7%) with 64% urban. Countrie’s estimated total population is 84.287 millions, 72% urban and 28% rural. There are 73 cities in the list, but only 42 cities were randomly selected in the sample. These cities have the number of starting points according to the total population divided for the total number of cities to have an interval. For each starting point were applied 20 questionnaires. So, cities with one, two or three starting points have 20, 40 or 60 questionnaires taken. The additional numbers of interviews in the Mexico City area (+85) come from an over-sampling of 160 questionnaires that we took in order to have a closer view of the city for our local questions (Q745-753). Those questionnaires are identified by numbers over the 1500 ‘folio’. Those 160 questionnaires are included in the tape. In sum the sample was taken from a list of 73 cities with population larger than 50,000 and 42 cities were chosen: 5 from the ZM zone, 7 from C, 11 from S and 19 from N. There were 75 starting points, and so 1500 questionnaires. The total urban population is 72% and 28% rural, proportionately, surveyed.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

    The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

    WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.

    Sampling error estimates

    Estimated error: 2.6

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Andreas Weigl; Hellmut Ritter (2008). Population, Health-System and Environment of Vienna, 1945 to 2001 [Dataset]. http://doi.org/10.4232/1.8282

Population, Health-System and Environment of Vienna, 1945 to 2001

Explore at:
15 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
2008
Dataset provided by
da|ra
GESIS Data Archive
Authors
Andreas Weigl; Hellmut Ritter
Time period covered
1945 - 2001
Area covered
Vienna
Description

Sources: Official Statistics: Population-Census-data, police registration, information of the civil registry office, civil status registration of the finance office, medical profession’s statistics of the medical association, administration statistics of magistrate departement 15 (departement of tuberculosis abatement), annual report of Vienna’s hospitals, containment measurement of magistrate departement 22, information about household refuse and potential recyclable of magistrate departement 48. Additional: Microcensus.

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